Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marie Oest"'
Publikováno v:
Molecules, Vol 29, Iss 14, p 3350 (2024)
Element profiling is a powerful tool for detecting fraud related to claims of geographical origin. However, these methods must be continuously developed, as mixtures of different origins in particular offer great potential for adulteration. This stud
Externí odkaz:
https://doaj.org/article/2c78f32ded574d9d9f4a512abb5d0fca
Publikováno v:
Foods, Vol 10, Iss 11, p 2798 (2021)
The understanding of interactions between proteins, carbohydrates, and phenolic compounds is becoming increasingly important in food science, as these interactions might significantly affect the functionality of foods. So far, research has focused pr
Externí odkaz:
https://doaj.org/article/c650fc00bf4c43af896bbe007541c091
Publikováno v:
Foods, Vol 9, Iss 12, p 1900 (2020)
For decades, the evaluation of rye milling products have been aimed at detecting raw material defects that are linked to excessive enzyme activity. Those defects were indirectly characterized by the rheological methods of the dough or the final produ
Externí odkaz:
https://doaj.org/article/19611e91c2144ced9cba123a80029979
Publikováno v:
Journal of Agricultural and Food Chemistry. 70:5237-5244
Autor:
Stefan G. Grießhammer, Anke Malessa, Hui Lu, Julia Yip, Julie Leuschner, Florian Christgau, Nils C. Albrecht, Marie Oesten, Thanh Truc Tran, Robert Richer, Maria Heckel, Bjoern M. Eskofier, Alexander Koelpin, Tobias Steigleder, Christoph Ostgathe
Publikováno v:
BMC Palliative Care, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Background Heart rate (HR) monitoring is a medical standard to provide information about a patient’s health status. In palliative care, relationship and social engagement are crucial therapeutic concepts. For fear of disrupting communicati
Externí odkaz:
https://doaj.org/article/8f6695ae548b4ce9928aa00057adeb80
Publikováno v:
Lebensmittelchemie. 76
Autor:
Sascha Rohn, Marie Oest, Volker Heinz, Alexander Voss, Alessa Lübke, Ute Bindrich, Andreas Juadjur
Publikováno v:
Lebensmittelchemie. 75
Autor:
Bao Chau Sawadski, Sascha Rohn, Diemo Daum, Timo Weber, Susanne Neugart, Marie Oest, Christoph Budke, Sven Brockmann, Martina Holz, Sabrina Groth
Publikováno v:
Lebensmittelchemie. 75
Publikováno v:
Lebensmittelchemie. 75
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Autoencoders are frequently used to embed molecules for training of downstream deep learning models. However, evaluation of the chemical information quality in the latent spaces is lacking and the model architectures are often arbitrarily ch
Externí odkaz:
https://doaj.org/article/9564c81fcebf465298f539ee1d29ff16